Logical Data Warehousing and Tableau 10

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Presentation transcript:

Logical Data Warehousing and Tableau 10 Frank Cegelski | Consultant - Neudesic #597 | Phoenix 2017

Agenda Introduction Traditional Data Warehousing Logical Data Warehousing Tableau 10 Features LDW with Tableau 10 Demonstration SQL SATURDAY | #597 | Phoenix 2017

Introduction Traditional data warehousing is unable to keep up with modern business demands Data Virtualization provides a more agile methodology for modern BI needs Tableau 10 provides new tools that allow one to create a simple LDW in a fraction of the time of a traditional Data Warehouse SQL SATURDAY | #597 | Phoenix 2017

Traditional Data Warehousing SQL SATURDAY | #597 | Phoenix 2017

Challenges of Traditional Data Warehousing Lengthy start-up time Models are designed upfront Difficult to implement ‘Big Data’ Limited support for non-db data sources Data Latency Changes are time consuming and expensive SQL SATURDAY | #597 | Phoenix 2017

Data Virtualization An abstraction layer that allows users access to information while hiding technical aspects such as location, storage structure or access language. SQL SATURDAY | #597 | Phoenix 2017

Data Federation A form of Data Virtualization in which data in multiple heterogeneous data stores is made available to users as an integrated data store using on-demand data integration SQL SATURDAY | #597 | Phoenix 2017

Logical Data Warehousing SQL SATURDAY | #597 | Phoenix 2017

Logical Data Warehouse Features Collection of queryable data models or services that return data to the calling application Data Virtualization layer that integrates data from numerous sources Decouples direct connection between a reporting application and the Data Source ELT vs ETL SQL SATURDAY | #597 | Phoenix 2017

Logical Data Warehouse Benefits Flexibility allows for quicker report creation Better support for ‘big data’ Allows an enterprise to make a large number of datasets available for analysis Lower data latency allows for ‘operational’ reporting SQL SATURDAY | #597 | Phoenix 2017

Open vs Closed architectures Open architecture refers to a system that makes data available for use in a variety of end-user systems Denodo Composite Closed architecture refers to a system that restricts usage to users of a particular system Tableau Powerbi SQL SATURDAY | #597 | Phoenix 2017

Use Cases Big Data Need for Operational Reporting Rapidly changing requirements Analytics / Machine learning SQL SATURDAY | #597 | Phoenix 2017

Tableau 10 BI Tool that allows users to design and share charts, graphs, and data visualizations Available in Desktop, Server, and Online versions Support for mobile reporting on Tablets and Phones Supports both Live data and Embedded data with scheduled updates SQL SATURDAY | #597 | Phoenix 2017

New Features In Tableau 10 Cross Database Joins Now allows for Inner Joins Can be published to tableau server Row level calculations across data sources Filtering across data sources Expanded list of Connection Types Improved workbook creation on Tableau Server SQL SATURDAY | #597 | Phoenix 2017

Logical Data Warehousing with Tableau 10 Cross database joins allows for creation of data federations Data Sources can be deployed to Tableau Server or online for reuse Visualizations and other Analytics tools available SQL SATURDAY | #597 | Phoenix 2017

Demonstration

Questions

Thank you Sponsors!